Distributed user-to-multiple access points association through deep learning for beyond 5G

Future wireless networks will be facing unprecedented difficulties arising from mobile traffic growth, network densification, as well as diversification of applications and services. Indeed, future user devices are expected to integrate diverse radio interfaces such as 5G, WBAN or IoT, enabling each...

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Veröffentlicht in:	Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2021-10, Vol.197, p.108258, Article 108258
Hauptverfasser:	Dinh, Thi Ha Ly, Kaneko, Megumi, Wakao, Keisuke, Kawamura, Kenichi, Moriyama, Takatsune, Abeysekera, Hirantha, Takatori, Yasushi
Format:	Artikel
Sprache:	eng
Schlagworte:	5G mobile communication Deep learning Deep Q-learning Deep reinforcement learning Densification Machine learning Multiple access Quality of service User association User-to-multiple access points association Wireless networks
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